Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Cytoskeletal Coordination in Cell Migration01:32

Cytoskeletal Coordination in Cell Migration

4.7K
A migrating cell changes its shape during the cyclic events of attachment and detachment from the substratum and repositions the cell organelles correspondingly. These complex events are orchestrated by the dynamic cytoskeletal network comprising actin filaments, intermediate filaments, and microtubules. Cytoskeletal crosstalk — the direct and indirect communication between the different components — is crucial for this coordination. Direct communication involves various linker...
4.7K
Levels of Organization01:09

Levels of Organization

123.5K
Biological organization is the classification of biological structures, ranging from atoms at the bottom of the hierarchy to the Earth's biosphere. Each level of the hierarchy represents an increase in complexity that builds upon the previous level.
Molecules Are Composed of Atoms, and Biomolecules Are Assembled from Molecules:
The most basic levels include atoms, molecules, and biomolecules. Atoms, the smallest unit of ordinary matter, are composed of a nucleus and electrons. Molecules...
123.5K
Cell-matrix's Response to Mechanical Forces01:13

Cell-matrix's Response to Mechanical Forces

2.6K
In animal cells, the extracellular matrix allows cells within tissues to withstand external stresses and transmits signals from the outside of the cell to the inside. The extracellular matrix is extensive, and its composition varies between different types of tissues. For example, the reticular fibers and ground substance make up the ECM in loose connective tissue, while collagen and bone minerals make up the ECM of bone tissue. 
Anchoring junctions mechanically attach a cell to the...
2.6K
Assembly of Complex Microtubule Structures01:32

Assembly of Complex Microtubule Structures

1.8K
Complex microtubule structures are present in resting cells and in dividing cells. In resting cells, they are responsible for maintaining the cellular architecture, tracks for intracellular transport, positioning of organelles, assembly of cilia and flagella. They mediate the bipolar spindle assembly for chromosomal segregation and positioning of the cell division plate in dividing cells. The formation of microtubule complex structures depends on the cell type, cell stage, and cell function.
1.8K
Storage01:23

Storage

83
A schema is a mental framework that helps individuals organize and interpret information. Schemata, formed from previous experiences, influence how we process new information: how we encode it, the inferences we make, and how we retrieve it. For instance, a schema for what a typical classroom looks like might include desks, a teacher's desk, a whiteboard, and students in such an environment. This expectation helps us quickly understand and navigate new classrooms without needing to analyze...
83
Overview of Cell-Matrix Interactions01:24

Overview of Cell-Matrix Interactions

7.2K
The extracellular matrix or ECM holds cells together to form a tissue and allows the cells within the tissue to communicate. ECM comprises proteins such as fibronectin, collagen, laminin, etc. The most abundant protein in this space is collagen. Collagen fibers are interwoven with carbohydrate-containing protein molecules called proteoglycans. ECM allows cell migration and provides a structural scaffold at cell adhesion that anchors the cell when the extracellular matrix proteins interact with...
7.2K

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

The interplay between ecological networks drives host-plasmid community dynamics.

PLoS computational biology·2026
Same author

Reducibility of higher-order networks from dynamics.

Nature communications·2026
Same author

Linking complex microbial interactions and dysbiosis through a disordered Lotka-Volterra model.

eLife·2026
Same author

Polymer conformational entropy as the driver of complex coacervation.

Proceedings of the National Academy of Sciences of the United States of America·2026
Same author

Unraveling the Network Signatures of Oncogenicity in Virus-Human Protein-Protein Interactions.

Entropy (Basel, Switzerland)·2025
Same author

Decoding the architecture of living systems.

Reports on progress in physics. Physical Society (Great Britain)·2025

Related Experiment Video

Updated: Jun 21, 2025

Fabrication of Magnetic Platforms for Micron-Scale Organization of Interconnected Neurons
09:54

Fabrication of Magnetic Platforms for Micron-Scale Organization of Interconnected Neurons

Published on: July 14, 2021

4.8K

Unraveling the mesoscale organization induced by network-driven processes.

Giacomo Barzon1,2, Oriol Artime3,4,5, Samir Suweis1,6,7

  • 1Padova Neuroscience Center, University of Padua, Padova 35131, Italy.

Proceedings of the National Academy of Sciences of the United States of America
|July 5, 2024
PubMed
Summary

We introduce Jacobian distance, a new metric for complex systems, to reveal hidden network geometry. This method effectively links network structure and dynamics, outperforming traditional approaches in brain network analysis.

Keywords:
Jacobian distancelatent geometrynetwork-driven processes

More Related Videos

Design, Surface Treatment, Cellular Plating, and Culturing of Modular Neuronal Networks Composed of Functionally Inter-connected Circuits
10:32

Design, Surface Treatment, Cellular Plating, and Culturing of Modular Neuronal Networks Composed of Functionally Inter-connected Circuits

Published on: April 15, 2015

8.5K
JUMPn: A Streamlined Application for Protein Co-Expression Clustering and Network Analysis in Proteomics
07:28

JUMPn: A Streamlined Application for Protein Co-Expression Clustering and Network Analysis in Proteomics

Published on: October 19, 2021

3.1K

Related Experiment Videos

Last Updated: Jun 21, 2025

Fabrication of Magnetic Platforms for Micron-Scale Organization of Interconnected Neurons
09:54

Fabrication of Magnetic Platforms for Micron-Scale Organization of Interconnected Neurons

Published on: July 14, 2021

4.8K
Design, Surface Treatment, Cellular Plating, and Culturing of Modular Neuronal Networks Composed of Functionally Inter-connected Circuits
10:32

Design, Surface Treatment, Cellular Plating, and Culturing of Modular Neuronal Networks Composed of Functionally Inter-connected Circuits

Published on: April 15, 2015

8.5K
JUMPn: A Streamlined Application for Protein Co-Expression Clustering and Network Analysis in Proteomics
07:28

JUMPn: A Streamlined Application for Protein Co-Expression Clustering and Network Analysis in Proteomics

Published on: October 19, 2021

3.1K

Area of Science:

  • Complex Systems Science
  • Network Science
  • Dynamical Systems Theory

Background:

  • Complex systems exhibit emergent patterns from interactions between dynamics and networks.
  • Existing topological or dynamical descriptors alone are insufficient to capture this interplay.
  • Dynamics-specific approaches limit the understanding of general principles.

Purpose of the Study:

  • To develop a novel metric, Jacobian distance, to uncover latent geometry in network-driven processes.
  • To analyze the interplay between network topology and dynamical processes.
  • To assess the metric's utility in diverse applications, including human brain networks.

Main Methods:

  • Computation of Jacobian distance for nonlinear dynamical models on synthetic and real-world networks.
  • Analytical and computational analysis of network-driven latent geometry.
  • Explanation of structure-function mismatches using the Jacobian matrix spectrum.

Main Results:

  • Jacobian distance captures spatiotemporal perturbation spreading, revealing inherent network geometry.
  • Process-driven latent geometry depends on both dynamics and network topology.
  • Mismatches between functional and topological organization are explained by the Jacobian matrix spectrum.

Conclusions:

  • Jacobian distance provides a unified approach to understanding complex systems.
  • The metric reveals potential discrepancies between functional and topological network organization.
  • Jacobian distance offers significant advantages over traditional methods for analyzing human brain networks, linking structure and function.